NDLI: Thermal error analysis and error prediction modeling on a machine tool

Content Provider	IEEE Xplore Digital Library
Author	Zhu Rui Dai Shijie Zhu Yonglu Wu Xinye Guo Yinbiao
Copyright Year	2008
Description	Author affiliation: Dept. of Mech. & Electr. Eng., Xiamen Univ., Xiamen, China (Zhu Rui; Dai Shijie; Zhu Yonglu; Guo Yinbiao) \|\| Dept. of Civil Eng., Xiamen Univ., Xiamen, China (Wu Xinye)
Abstract	Thermal errors are the largest contributor to the dimensional errors of a workpiece in precision machining. It is very significant to study how to accurately simulate the spindle thermal errors. In this paper a novel concept of thermal error modes analysis is proposed to develop a better understanding of the thermal deformation on a machine tool. The basic thermal error modes for a structural element are the thermal expansion and bending mode. The selection of sensors location can be improved based on the thermal error modes analysis with finite elements analysis for reference. Through variables grouping and optimization approach, key temperature variables are identified, the number of thermal sensors has been reduced from 16 to 3. The thermal error prediction modeling based on the proposed method has been applied to a machine for verification, and the results show the thermal error prediction model is satisfying for thermal error compensation.
Starting Page	2056
Ending Page	2060
File Size	814810
Page Count	5
File Format	PDF
ISBN	9781424426294
DOI	10.1109/IEEM.2008.4738233
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Key temperature variables Error analysis Machining Predictive models Modes analysis Temperature sensors Thermal expansion Thermal error Thermal factors Error prediction modeling Friction Thermal sensors Coolants Machine tools
Content Type	Text
Resource Type	Article

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